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Integrate Neptune.ai (ML Experiment Tracking) with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage ML experiments via Neptune.ai — track training runs, monitor metrics, and audit model versions.
MCP Inspector GDPR Free for Subscribers

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
get

Get attributes on Neptune.ai (ML Experiment Tracking)

Get parameters mapped within an experiment runtime bounds

get

Get project on Neptune.ai (ML Experiment Tracking)

Get specific details for a targeted Neptune ML project

get

Get user on Neptune.ai (ML Experiment Tracking)

Get specific user credentials and availability details

list

List models on Neptune.ai (ML Experiment Tracking)

List trained tracking models packaged natively within a project

list

List projects on Neptune.ai (ML Experiment Tracking)

List accessible Neptune workspaces and projects

search

Search runs on Neptune.ai (ML Experiment Tracking)

Search explicitly tracked ML experimentation runs inside a project

Security & Code Integrity Audit

Every tool in the Neptune.ai (ML Experiment Tracking) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

MCP Inspector
A+Score: 100

How Vinkius protects your data

Can my agent search through hundreds of past ML experimentation runs?

Absolutely. Use the search_runs tool with your Project ID. Your agent will query Neptune's tracking server to identify historical experiment state checkpoints, making it easy to locate specific training results across your entire research timeline.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Triggering Neptune.ai (ML Experiment Tracking) via Natural Language

Securely interface Claude Code, ChatGPT, and Cursor with the Neptune.ai (ML Experiment Tracking) API through semantic routing and standardized natural language triggers.

Optimizing mlops with Claude

Connect the Neptune.ai (ML Experiment Tracking) server to enable mlops workflows. The integration provides structured schemas for Claude to mutate developer tools data.

The Future of experiment tracking

The Neptune.ai (ML Experiment Tracking) MCP translates LLM intent into specific experiment tracking actions. Agents like Cursor use this to interface securely with your developer tools infrastructure.

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